Papers by Kyung Kim
Label efficient semi-supervised conversational intent classification (2023.acl-industry)
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| Challenge: | A conversational chatbot can answer pre-purchase questions and post-purchase queries to provide a seamless shopping experience. |
| Approach: | They propose a semi-supervised learning approach for label-efficient intent classification using a small labeled corpus and large unlabeled query data to train a transformer model. |
| Outcome: | The proposed approach significantly improves over the baseline, even with a limited labeled set. |